Open Wxsang opened 5 years ago
hi, luckycallor, thanks for your code! sorry, i dont read the paper. evaluate() in evaluate.py
thresholds = np.arange(0, 4, 0.01) if distance_metric == 1: thresholdes = np.arange(0, 1, 0.0025)
why 'distance_metric' ==1?
1 means cosine distance, 0 means euclidean distance. You can use either to measure whether two faces are the same person.
@Wxsang
hi, luckycallor, thanks for your code! sorry, i dont read the paper. evaluate() in evaluate.py
why 'distance_metric' ==1?